チャーノフの顔形グラフの応用研究(II) : 大気汚染の地域特性の解析

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The purpose of this paper is to extract the characteristics of regional air pollution by both statistical factor analysis and Chernoff's face graph. The five air pollutants (suspended paticulate matters (SPM), O_x, CO, NO_x, SO_2) which were monitored at 35 stations of the Tokyo Metropolitan Government from April 1982 to March 1985 are employed as the actual variables. The results of the analysis are summarized as follows. (1) As a result of statistical factor analysis based on Varimax rotation by using three years average concentration of the five air pollutants, two common factors are extracted: one factor explains influence of air pollution from moving emission sources such as automobiles; the other factor explains influence of air pollution from stationary emission sources such as factory, utility and space heating. (2) By using the two common factors, 35 monitoring stations are divided into four subgroups and two singular stations: A-group is in the area of relatively clean air; B-group is in the area which is relatively affected by moving emission sources; C-group is in the area which is relatively affected by stationary emission sources; D-group is in the area which is affected by both emission sources. (3) As a result of assignment of air pollutants in accordance with the order of magnitude of facter loading of each common factor to the features of face graph in accordance with the order of magnitude of contribution to visual reaction, distinctive looks correspond to the characteristics of air pollution of each divided sub-area. Therefore, by using face graph, state of air pollution can be easily grasped by sight as compared with numerical values.
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チャーノフの顔形グラフの応用研究(II) : 大気汚染の地域特性の解析

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